UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 2 | February 2026

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Published in:

Volume 12 Issue 7
July-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRGZ06027


Registration ID:
567325

Page Number

138-143

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Title

ADOPTION OF AI TOOLS BY FINANCIAL ANALYSTS AND ITS INFLUENCE ON STOCK RECOMMENDATIONS: A FIELD STUDY

Abstract

This study explores the adoption and impact of Artificial Intelligence (AI) tools among financial analysts in Hubli and Belagavi, two emerging financial centres in Karnataka, India. The primary objectives are to examine the extent of AI integration in stock recommendation processes and to assess the perceived improvement in the accuracy and reliability of these recommendations. Using a mixed-methods approach, the study surveyed 210 financial professionals, including analysts, equity researchers, and portfolio managers, through structured questionnaires. The demographic profile indicates a well-qualified, experienced workforce, with a majority possessing postgraduate or professional qualifications and more than five years of experience. Descriptive statistics show that AI tools are moderately to highly adopted, especially among more experienced and professionally qualified analysts. While respondents acknowledged improved efficiency and decision-making due to AI, the lack of formal training emerged as a key barrier. Hypothesis testing confirms a statistically significant adoption of AI tools and a strong positive correlation between AI usage and the perceived accuracy of stock recommendations. Further analysis reveals that experience and education significantly influence both AI adoption and its perceived impact, while city-based differences are negligible. The findings underscore a growing reliance on AI in financial analysis, coupled with an urgent need for structured training and institutional support. This study provides a foundational understanding of AI's role in decision-making for financial professionals in regional markets and offers a basis for future research in broader contexts.

Key Words

Artificial Intelligence, Financial Analysts, Stock Recommendations, Technology Adoption

Cite This Article

"ADOPTION OF AI TOOLS BY FINANCIAL ANALYSTS AND ITS INFLUENCE ON STOCK RECOMMENDATIONS: A FIELD STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.138-143, July-2025, Available :http://www.jetir.org/papers/JETIRGZ06027.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ADOPTION OF AI TOOLS BY FINANCIAL ANALYSTS AND ITS INFLUENCE ON STOCK RECOMMENDATIONS: A FIELD STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp138-143, July-2025, Available at : http://www.jetir.org/papers/JETIRGZ06027.pdf

Publication Details

Published Paper ID: JETIRGZ06027
Registration ID: 567325
Published In: Volume 12 | Issue 7 | Year July-2025
DOI (Digital Object Identifier):
Page No: 138-143
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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